Design, implement, and manage highly available cloud infra (AWS).
Architect AI/ML infra; manage AWS Lambda and SageMaker.
Automate deployment pipelines with GitLab/GitHub Actions for web apps and ML models.
Build and scale Docker containers using ECS/Fargate.
Implement MLOps for dev-to-prod model delivery.
Ensure scalability with monitoring, logging, and automated alerts.

🎯 Requirements

5+ years in DevOps or infrastructure.
Expert knowledge of AWS, GCP, and Azure.
Docker and ECS/Kubernetes experience.
Proven CI/CD pipeline design and management.
Experience with MLOps workflows (versioning, retraining, feature stores).
Monitoring and logging with Datadog, Prometheus, Grafana, MLflow.
Python is required; Bash and Go are also useful.
Terraform, Ansible, or CloudFormation for IaC.

🎁 Benefits

Competitive salaries
Remote/hybrid environment
Potential equity compensation
Flexible PTO
Medical, dental, and vision insurance
401k and commuter benefits

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to DevOps Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot